Title :
A CNN implementation of a hysteresis chaos generator
Author :
Aissi, Cherif ; Shams, Ahmed
Author_Institution :
Coll. of Eng., Southwestern Louisiana Univ., Lafayette, LA, USA
Abstract :
In this paper, a new realization of the hysteresis chaos generator is presented. Only two primitive cellular neural networks (CNN) cells are used to implement this circuit which displays complex dynamics. Computer simulation results, showing the existence of the double scroll attractor, are reported
Keywords :
analogue processing circuits; cellular neural nets; chaos generators; hysteresis; CNN implementation; cellular neural networks; complex dynamics; double scroll attractor; hysteresis chaos generator; primitive CNN cells; Cellular neural networks; Chaos; Chaotic communication; Circuits; Educational institutions; Equations; Hysteresis; Mathematical model; Oscillators; Switches;
Conference_Titel :
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-5471-0
DOI :
10.1109/ISCAS.1999.777651